Triple

T8447426
Position Surface form Disambiguated ID Type / Status
Subject Gal Gadot E199710 entity
Predicate familyName P18 FINISHED
Object Gadot E199710 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gadot | Statement: [Gal Gadot, familyName, Gadot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gadot
Context triple: [Gal Gadot, familyName, Gadot]
  • A. Gal Gadot chosen
    Gal Gadot is an Israeli actress and model best known internationally for portraying Wonder Woman in the DC Extended Universe films.
  • B. Ruby Rose
    Ruby Rose is an Australian model, DJ, and actress known for her androgynous style and roles in action films and television series such as "Orange Is the New Black."
  • C. Ray Fisher
    Ray Fisher is an American actor best known for portraying the superhero Cyborg in the DC Extended Universe films.
  • D. Nicolas Seydoux
    Nicolas Seydoux is a French film industry executive and producer, notably associated with the Gaumont film company and part of a prominent cinematic family.
  • E. Jess Brolin
    Jess Brolin is the son of actor James Brolin and the younger half-brother of actor Josh Brolin, known mainly for his connection to the prominent Hollywood family.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe44480ec8190b32443a53cd4f943 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39b528f08190a0627cb17a0ffef9 completed April 2, 2026, 9:41 a.m.
Created at: March 30, 2026, 6:09 p.m.